Program and Registration—2022

Welcome to AAAI-MAKE 2022—an international and hybrid AI symposium. On this page, you will find the program and the respective starting times—participation on-site or virtually is only possible after prior registration.

Even though this symposium is a hybrid event, we strongly believe that the possibility of on-site social interaction and the atmosphere on the Stanford campus is far from transferable by virtual means. So we hope that many may succeed in being able to participate on-site and to travel to Stanford.

Last update: 2022-03-22

Event Location

The AAAI Spring Symposium Series will be held in the History Corner (Building 200) of the Main Quad.

Registration will take place on the main Stanford Campus located at Lane History Corner/Bldg 200, 450 Jane Stanford Way Bldg 200, Stanford CA 94305.

Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE): History Room 200-002.

World Time

Time in Stanford, California, United States:
Central European Time (CET):
Time in Guttet-Feschel, Valais, Switzerland:
Time in Pretoria, South Africa:
Anywhere on Earth (AoE):

Monday, March 21

9:00 am – 09:30 am
Andreas Martin, FHNW

9:30 am – 10:30 am
Natasha Noy, Google Research and AAAI Fellow

10:30 am – 11:00 am

Session 1
11:00 am – 12:30 pm
Chair: Knut Hinkelmann • 25 minutes per paper

Neural-Symbolic Reasoning under Open-World and Closed-World Assumptions
Benedikt Wagner and Artur D’Avila Garcez

Machine Learning on Simulated and Real Farm Data based on an Ontology-Controlled Data Infrastructure
Alexander Muenzberg, Christian Troost, Daniel Martini, Francisco Mendoza Tijerino, Rajiv Srivastava, Thomas Berger, Liv Seuring, Nils Reinosch, Thilo Streck and Ansgar Bernardi

A Framework for Context-dependent Augmented Reality Applications Using Machine Learning and Ontological Reasoning
Fabian Muff and Hans-Georg Fill

12:30 pm – 2:00 pm

Session 2
2:00 pm – 3:30 pm
Chair: Reinhard Stolle • 25 minutes per paper

Combining Machine Learning with Human Knowledge for Delivery Time Estimations
Markus Lochbrunner and Hans Friedrich Witschel

Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft
Vinicius G. Goecks, Nicholas Waytowich, David Watkins-Valls and Bharat Prakash

A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery
Ryan Prater and Emanuele Laurenzi

3:30 pm – 4:00 pm

Session 3
4:00 pm – 5:30 pm
Chair: Hans-Georg Fill • 25 minutes per paper

SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories
Sakif Hossain, Fatema T. Johora, Jörg P. Müller, Sven Hartmann and Andreas Reinhardt

Adjoined Networks: A training paradigm with applications to network compression
Utkarsh Nath, Shrinu Kushagra and Yingzhen Yang

KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Suk Joon Hong, Brandon Bennett, Judith Clymo and Lucia Gomez Alvarez

6.00 pm – 7:00 pm

Tuesday, March 22

Session 4 remote/online
9:00 am – 10:30 am
Chair: Aurona Gerber (remote) 20 minutes per paper

Contrastive Visual and Language Translational Embeddings for Visual Relationship Detection
Thanh Tran, Paulo Santos and David Powers

CalBERT – Code-mixed Adaptive Language representations using BERT
Aditeya Baral, Aronya Baksy, Ansh Sarkar, Deeksha D and Ashwini Joshi

Learning Rules with Attributes and Relations in Knowledge Graphs
Pouya Ghiasnezhad Omran, Zhe Wang and Kewen Wang

Explainable Deep Feature Embedding using Multiple Instance Learning for Pathological Image Analysis
Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka and Hidenori Sakanashi

10:30 am – 11:00 am

Session 5 remote/online
11:00 am – 1:00 pm
Chair: Knut Hinkelmann 25 minutes per paper

The FATE system iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case
Maaike de Boer, Steven Vethman, Roos Bakker, Ajaya Adhakari, Michiel Marcus, Joachim de Greeff, Jasper van der Waa, Tjeerd Schoonderwoerd, Ioannis Tolios, Emma van Zoelen, Fieke Hillerström and Bart Kamphorst

ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI
Wolfgang Maass, Arturo Castellanos, Monica Chiarini Tremblay, Roman Lukyanenko and Veda C. Storey

Robots with Commonsense: Improving Object Recognition through Size and Spatial Awareness
Agnese Chiatti, Enrico Motta and Enrico Daga

Hybrid AI system delivering highly targeted news to business professionals
Anupriya Ankolekar and David Brunner

1:00 pm – 2:00 pm

Session 6 hybrid (on-site/remote)
2:00 pm – 3:30 pm
Chair: Hans-Georg Fill 25 minutes per paper

Extracting Knowledge with Constructivist Machine Learning: Conceptual and Procedural Models
Thomas Schmid and Florian Große

Using the Strategy Design Pattern for Hybrid AI System Design
Stephan Jüngling, Martin Peraic and Zhu Cheng

Do it Like the Doctor: How We Can Design a Model to Diagnose Pneumothorax Using Domain Knowledge
Glen Smith, Qiao Zhang and Christopher Maclellan

3:30 pm – 4:00 pm

Session 7
4:00 pm – 5:30 pm
Chair: Reinhard Stolle 25 minutes per paper

Collusion Detection in Team-Based Multiplayer Games
Laura Greige, Fernando De Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin and Dilip Varadarajan

Agent Smith: Machine Teaching for Building Question Answering Agents
Ashok Goel, Harshvardhan Sikka and Eric Gregori

Conceptual Edits as Counterfactual Explanations
Giorgos Filandrianos, Konstantinos Thomas, Edmund Dervakos and Giorgos Stamou

Plenary Session
6.00 pm – 7:30 pm
Hans-Georg Fill, University of Fribourg
Representing AAAI-MAKE

Wednesday, March 23

Session 8 • short paper hybrid (on-site/remote)
9:00 am – 10:30 am
Chair: Frank van Harmelen (remote) 15 minutes per paper

Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions
Maëlic Neau, Paulo Santos, Anne-Gwenn Bosser, Nathan Beu and Cédric Buche

SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation
Achim Reiz
, Birger Lantow and Kurt Sandkuhl

Actionable Recommendations for Small Businesses with Hybrid AI
Sudhir Agarwal, Lalla Mouatadid, Anu Sreepathy, Kevin Furbish, Morgen Kimbrell and Mike Gabriel

Decision Transformers for Glut Control in the Active Logic Machine
Justin Brody and Don Perlis

Potential Energy to Improve Link Prediction with Relational Graph Neural Networks
Simone Colombo, Dimitrios Alivanistos and Michael Cochez

10:30 am – 11:00 am

Closing Session Discussion
Moderator: Knut Hinkelmann
11:00 am – 12:30 pm

End of the Symposium
12:30 pm

Presentation Format

Symposium contributors will present their paper in a short 15-minute presentation (short-paper 10-minute), followed by a 10-minute discussion (short-paper 5-minute).

Virtual Participation / Presentation

Although our symposium is primarily an on-site event, people who are unable to travel due to COVID-19 measures or disease, or whose participation poses a health risk to themselves or others, will now have two options:

  • Virtual / remote PARTICIPATION via Zoom with mandatory registration
  • Virtual / remote PRESENTATION via Zoom or a pre-recorded video without registration requirement

Remote participants will receive credentials for accessing the virtual symposium meeting. This information will be sent to you shortly before the symposium via the email address you used for registration.

The virtual symposium meeting will be hosted on the Zoom conference platform. Please note to have Zoom (at least version 5.0) installed ( in advance of the symposium.


Accepted authors, invited speakers, symposium participants, and other invited attendees must register to participate in the symposia. Please register via the online registration form (

* The Association for the Advancement of Artificial Intelligence (AAAI) is responsible for the overall organization of all the Spring Symposium Series. For any inquiries related to registration, please contact the AAAI at or consult the AAAI’s website (